A Model for the Multiperiod Multiobjective Power Generation Expansion Problem

Ceciliano-Meza, José L.; Yildirim, Mehmet Bayram; Masud, Abu S. M.

doi:10.1109/tpwrs.2007.895178

Cited by 179 publications

(93 citation statements)

References 16 publications

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“…Research [58,[62][63][64][65][66] have used some objective function in power plant development, such as: minimize cost, minimize the negative impact to the environment, maximize system reliability, and minimize the number of import fuels. Research [67] have used three objective problems in power plant development.…”

Section: Multi-objective Fractional Programming Methodsmentioning

confidence: 99%

A Review of Potential Method for Optimization of Power Plant Expansion Planning in Jawa-Madura-Bali Electricity System

Budi

Sarjiya

Hadi

2017

CST

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The paper contains a literature review to obtain an optimization method that potentially can be used to optimize power plant expansion of Jawa-Madura-Bali (Jamali) power system in 2015-2050. An optimization model that can represent auction process and direct appointment of IPP by considering the long term period (multi-period framework) and multi-objective function (economical, reliable, and environmentally friendly), is needed. Based on the literature review that has been done, it is obtained the method potentially can be used for Jamali system. The method is a game theory with multi-period, bi-level and multi-objective optimization method. Game theory is used to represent the auction process and direct appointment of IPP. Multi-period is used to represent the long term period from 2015-2050. Multi-objective optimization method is used to represent the aspects of cost, reliability, and CO2 emission which are considered in the optimization process

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Section: Multi-objective Fractional Programming Methodsmentioning

confidence: 99%

A Review of Potential Method for Optimization of Power Plant Expansion Planning in Jawa-Madura-Bali Electricity System

Budi

Sarjiya

Hadi

2017

CST

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“…So it is important to optimize the mix of power generation. That is to say, the power system should make an optimal decision on which, where and when new power plants should be built [5]. Developing wind power is an important way to build a low-carbon power system.…”

Section: Literature Reviewmentioning

confidence: 99%

Game of Generation and Emission Reduction Competition between Two Electric Power Enterprises under the Cap-and-trade Regulation

Chen¹,

Zhang²

2018

dteees

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Abstract. This paper researches the power generation enterprises' generation output and emission reduction decisions. The study finds that the output of polluting power generation enterprise is higher than which of the clean power generation enterprise due to low power generation cost in case of without cap-and-trade regulation, the output of the clean power generation enterprise is possible higher than which of the polluting power generation enterprise no matter whether the enterprises invest in emission reduction under the cap-and-trade scheme, the output will be higher while enterprises invest in emission reduction under the cap-and-trade scheme. Carrying out the cap-and-trade regulation is in favor of carbon emissions reduction.

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“…In [8], the authors presented a comparison of the different development plans used for the Mexican system in the period between 2005 and 2014 and concluded that the energy supply system should not be expanded solely in terms of minimizing the cost. In [9], the problem has been modeled with four objective functions, three relating to cost and one to CO 2 emissions, for the same period. The same authors compared their model with a bi-objective one in which they considered three cost elements using the AHP methodology [10].…”

Section: Introductionmentioning

confidence: 99%

A multi-step multi-objective generation expansion planning model-A case study in Mexico

Palácios¹,

Valdés²,

Batres³

2018

SGCE

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Planning in the energy sector implies multiple and conflicting objectives. Multi-objective models allow the analysis of the inter-relationships and trade-off solutions to be obtained. This paper presents a mixed integer linear model for multi-step multi-objective generation expansion planning (MMGEP). The MMGEP problem is defined as the problem of determining the answers to the following questions: What types of generation technologies are to be added to the grid? What is the capacity of each new generation plant? Where will the plant be located? When will the plant be located? The MMGEP objectives are to minimize the global cost of the system, minimize the environmental impact and maximize the social profits. The proposed model is based on a real power system in Mexico for the planning period between 2017 and 2037. The problem was solved using the NSGA-II algorithm.

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A Model for the Multiperiod Multiobjective Power Generation Expansion Problem

Cited by 179 publications

References 16 publications

A Review of Potential Method for Optimization of Power Plant Expansion Planning in Jawa-Madura-Bali Electricity System

A Review of Potential Method for Optimization of Power Plant Expansion Planning in Jawa-Madura-Bali Electricity System

Game of Generation and Emission Reduction Competition between Two Electric Power Enterprises under the Cap-and-trade Regulation

A multi-step multi-objective generation expansion planning model-A case study in Mexico

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